Overview

Dataset statistics

Number of variables30
Number of observations3916
Missing cells2073
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory917.9 KiB
Average record size in memory240.0 B

Variable types

Categorical3
Numeric27

Alerts

District_Name has a high cardinality: 223 distinct valuesHigh cardinality
SCHOOL has a high cardinality: 1955 distinct valuesHigh cardinality
2011 Total is highly overall correlated with %0-5 Points and 10 other fieldsHigh correlation
%0-5 Points is highly overall correlated with 2011 Total and 3 other fieldsHigh correlation
%6-10 Points is highly overall correlated with 2011 Total and 5 other fieldsHigh correlation
%11-15 Points is highly overall correlated with 2011 Total and 9 other fieldsHigh correlation
%16-20 Points is highly overall correlated with 2011 Total and 13 other fieldsHigh correlation
%21-25 Points is highly overall correlated with %16-20 Points and 3 other fieldsHigh correlation
2012 Total is highly overall correlated with 2011 Total and 11 other fieldsHigh correlation
%0-5 Points.1 is highly overall correlated with %0-5 Points and 2 other fieldsHigh correlation
%6-10 Points.1 is highly overall correlated with %0-5 Points and 3 other fieldsHigh correlation
%11-15 Points.1 is highly overall correlated with 2011 Total and 8 other fieldsHigh correlation
%16-20 Points.1 is highly overall correlated with 2011 Total and 14 other fieldsHigh correlation
%21-25 Points.1 is highly overall correlated with %16-20 Points and 4 other fieldsHigh correlation
2013 Total is highly overall correlated with 2011 Total and 11 other fieldsHigh correlation
%0-5 Points.2 is highly overall correlated with %0-5 Points.3High correlation
%11-15 Points.2 is highly overall correlated with %11-15 Points and 11 other fieldsHigh correlation
%16-20 Points.2 is highly overall correlated with %16-20 Points and 9 other fieldsHigh correlation
2014 Total is highly overall correlated with 2011 Total and 12 other fieldsHigh correlation
%0-5 Points.3 is highly overall correlated with %0-5 Points.2High correlation
%11-15 Points.3 is highly overall correlated with %11-15 Points and 8 other fieldsHigh correlation
%16-20 Points.3 is highly overall correlated with %16-20 Points and 10 other fieldsHigh correlation
2015 Total is highly overall correlated with 2011 Total and 11 other fieldsHigh correlation
%11-15 Points.4 is highly overall correlated with %16-20 Points.1 and 4 other fieldsHigh correlation
%16-20 Points.4 is highly overall correlated with %16-20 Points.2 and 1 other fieldsHigh correlation
Gender is highly overall correlated with 2011 Total and 4 other fieldsHigh correlation
Gender is highly imbalanced (54.3%)Imbalance
SCHOOL has 1959 (50.0%) missing valuesMissing
Gender has 114 (2.9%) missing valuesMissing
2011 Total is highly skewed (γ1 = 57.13807292)Skewed
2012 Total is highly skewed (γ1 = 57.39493818)Skewed
2013 Total is highly skewed (γ1 = 57.82703576)Skewed
2014 Total is highly skewed (γ1 = 57.56915284)Skewed
2015 Total is highly skewed (γ1 = 57.36407252)Skewed
SCHOOL is uniformly distributedUniform
2011 Total has 1240 (31.7%) zerosZeros
%0-5 Points has 1478 (37.7%) zerosZeros
%6-10 Points has 1309 (33.4%) zerosZeros
%11-15 Points has 1517 (38.7%) zerosZeros
%16-20 Points has 2201 (56.2%) zerosZeros
%21-25 Points has 3293 (84.1%) zerosZeros
2012 Total has 985 (25.2%) zerosZeros
%0-5 Points.1 has 1235 (31.5%) zerosZeros
%6-10 Points.1 has 1041 (26.6%) zerosZeros
%11-15 Points.1 has 1267 (32.4%) zerosZeros
%16-20 Points.1 has 2073 (52.9%) zerosZeros
%21-25 Points.1 has 3235 (82.6%) zerosZeros
2013 Total has 553 (14.1%) zerosZeros
%0-5 Points.2 has 645 (16.5%) zerosZeros
%6-10 Points.2 has 711 (18.2%) zerosZeros
%11-15 Points.2 has 1422 (36.3%) zerosZeros
%16-20 Points.2 has 2967 (75.8%) zerosZeros
2014 Total has 358 (9.1%) zerosZeros
%0-5 Points.3 has 535 (13.7%) zerosZeros
%6-10 Points.3 has 542 (13.8%) zerosZeros
%11-15 Points.3 has 1161 (29.6%) zerosZeros
%16-20 Points.3 has 2587 (66.1%) zerosZeros
2015 Total has 296 (7.6%) zerosZeros
%0-5 Points.4 has 457 (11.7%) zerosZeros
%6-10 Points.4 has 512 (13.1%) zerosZeros
%11-15 Points.4 has 1459 (37.3%) zerosZeros
%16-20 Points.4 has 3183 (81.3%) zerosZeros

Reproduction

Analysis started2023-08-07 13:31:37.007721
Analysis finished2023-08-07 13:43:13.137112
Duration11 minutes and 36.13 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

District_Name
Categorical

Distinct223
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size30.7 KiB
WAKISO
523 
KAMPALA
356 
MUKONO
 
201
MBARARA
 
108
LUWERO
 
98
Other values (218)
2630 

Length

Max length19
Median length18
Mean length6.8715526
Min length4

Characters and Unicode

Total characters26909
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)2.9%

Sample

1st rowAMUDAT
2nd rowAMUDAT
3rd rowAMUDAT Total
4th rowPADER
5th rowPADER

Common Values

ValueCountFrequency (%)
WAKISO 523
 
13.4%
KAMPALA 356
 
9.1%
MUKONO 201
 
5.1%
MBARARA 108
 
2.8%
LUWERO 98
 
2.5%
JINJA 86
 
2.2%
KABALE 84
 
2.1%
MPIGI 83
 
2.1%
BUIKWE 78
 
2.0%
MBALE 69
 
1.8%
Other values (213) 2230
56.9%

Length

2023-08-07T09:43:14.372561image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
wakiso 524
 
12.5%
kampala 357
 
8.5%
mukono 202
 
4.8%
main 176
 
4.2%
total 111
 
2.6%
mbarara 109
 
2.6%
luwero 99
 
2.4%
jinja 87
 
2.1%
bushenyi 86
 
2.0%
kabale 85
 
2.0%
Other values (102) 2367
56.3%

Most occurring characters

ValueCountFrequency (%)
A 4902
18.2%
I 2273
 
8.4%
K 2262
 
8.4%
O 2047
 
7.6%
M 1771
 
6.6%
U 1596
 
5.9%
N 1555
 
5.8%
E 1271
 
4.7%
S 1143
 
4.2%
L 1142
 
4.2%
Other values (22) 6947
25.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 26076
96.9%
Lowercase Letter 452
 
1.7%
Space Separator 375
 
1.4%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 4902
18.8%
I 2273
 
8.7%
K 2262
 
8.7%
O 2047
 
7.9%
M 1771
 
6.8%
U 1596
 
6.1%
N 1555
 
6.0%
E 1271
 
4.9%
S 1143
 
4.4%
L 1142
 
4.4%
Other values (13) 6114
23.4%
Lowercase Letter
ValueCountFrequency (%)
a 113
25.0%
o 112
24.8%
t 112
24.8%
l 112
24.8%
r 1
 
0.2%
n 1
 
0.2%
d 1
 
0.2%
Space Separator
ValueCountFrequency (%)
375
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 26528
98.6%
Common 381
 
1.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 4902
18.5%
I 2273
 
8.6%
K 2262
 
8.5%
O 2047
 
7.7%
M 1771
 
6.7%
U 1596
 
6.0%
N 1555
 
5.9%
E 1271
 
4.8%
S 1143
 
4.3%
L 1142
 
4.3%
Other values (20) 6566
24.8%
Common
ValueCountFrequency (%)
375
98.4%
. 6
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26909
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 4902
18.2%
I 2273
 
8.4%
K 2262
 
8.4%
O 2047
 
7.6%
M 1771
 
6.6%
U 1596
 
5.9%
N 1555
 
5.8%
E 1271
 
4.7%
S 1143
 
4.2%
L 1142
 
4.2%
Other values (22) 6947
25.8%

SCHOOL
Categorical

HIGH CARDINALITY  MISSING  UNIFORM 

Distinct1955
Distinct (%)99.9%
Missing1959
Missing (%)50.0%
Memory size30.7 KiB
GREEN VALLEY HIGH SCHOOL
 
2
CORNERSTONE LEADERSHIP ACADEMY
 
2
KITGUM MATIDI SEED SCHOOL
 
1
KITGUM HALL
 
1
KITGUM COMPREHENSIVE COLLEGE
 
1
Other values (1950)
1950 

Length

Max length43
Median length35
Mean length27.133878
Min length9

Characters and Unicode

Total characters53101
Distinct characters42
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1953 ?
Unique (%)99.8%

Sample

1st rowPOKOT SECONDARY SCHOOL
2nd rowARCHBP.FLYNN SECONDARY SCHOOL
3rd rowPADER TOWN HALL LAGWAI SEED SS
4th rowPAJULE SECONDARY SCHOOL
5th rowKAMOD SECONDARY SCHOOL

Common Values

ValueCountFrequency (%)
GREEN VALLEY HIGH SCHOOL 2
 
0.1%
CORNERSTONE LEADERSHIP ACADEMY 2
 
0.1%
KITGUM MATIDI SEED SCHOOL 1
 
< 0.1%
KITGUM HALL 1
 
< 0.1%
KITGUM COMPREHENSIVE COLLEGE 1
 
< 0.1%
KITGUM ALLIANCE COLLEGE 1
 
< 0.1%
TUNYI GIRLS' SECONDARY SCHOOL 1
 
< 0.1%
ST.JOSEPH BUYAGA SECONDARY SCHOOL 1
 
< 0.1%
NABONGO SECONDARY SCHOOL 1
 
< 0.1%
BUGINYANYA COMPREHENSIVE SS 1
 
< 0.1%
Other values (1945) 1945
49.7%
(Missing) 1959
50.0%

Length

2023-08-07T09:43:15.756312image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
school 996
 
15.8%
secondary 978
 
15.5%
high 413
 
6.5%
college 111
 
1.8%
girls 85
 
1.3%
seed 39
 
0.6%
hall 34
 
0.5%
parents 31
 
0.5%
memorial 31
 
0.5%
vocational 30
 
0.5%
Other values (2091) 3569
56.5%

Most occurring characters

ValueCountFrequency (%)
O 5745
 
10.8%
A 4693
 
8.8%
4362
 
8.2%
S 4272
 
8.0%
E 3655
 
6.9%
L 3303
 
6.2%
C 3211
 
6.0%
H 2893
 
5.4%
N 2754
 
5.2%
R 2447
 
4.6%
Other values (32) 15766
29.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 47328
89.1%
Space Separator 4362
 
8.2%
Other Punctuation 1364
 
2.6%
Lowercase Letter 21
 
< 0.1%
Dash Punctuation 17
 
< 0.1%
Decimal Number 7
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 5745
12.1%
A 4693
 
9.9%
S 4272
 
9.0%
E 3655
 
7.7%
L 3303
 
7.0%
C 3211
 
6.8%
H 2893
 
6.1%
N 2754
 
5.8%
R 2447
 
5.2%
I 2354
 
5.0%
Other values (16) 12001
25.4%
Other Punctuation
ValueCountFrequency (%)
, 795
58.3%
. 341
25.0%
' 205
 
15.0%
/ 9
 
0.7%
; 7
 
0.5%
& 7
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
m 7
33.3%
p 7
33.3%
a 7
33.3%
Decimal Number
ValueCountFrequency (%)
0 5
71.4%
2 1
 
14.3%
3 1
 
14.3%
Space Separator
ValueCountFrequency (%)
4362
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 47349
89.2%
Common 5752
 
10.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 5745
12.1%
A 4693
 
9.9%
S 4272
 
9.0%
E 3655
 
7.7%
L 3303
 
7.0%
C 3211
 
6.8%
H 2893
 
6.1%
N 2754
 
5.8%
R 2447
 
5.2%
I 2354
 
5.0%
Other values (19) 12022
25.4%
Common
ValueCountFrequency (%)
4362
75.8%
, 795
 
13.8%
. 341
 
5.9%
' 205
 
3.6%
- 17
 
0.3%
/ 9
 
0.2%
; 7
 
0.1%
& 7
 
0.1%
0 5
 
0.1%
2 1
 
< 0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53101
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 5745
 
10.8%
A 4693
 
8.8%
4362
 
8.2%
S 4272
 
8.0%
E 3655
 
6.9%
L 3303
 
6.2%
C 3211
 
6.0%
H 2893
 
5.4%
N 2754
 
5.2%
R 2447
 
4.6%
Other values (32) 15766
29.7%

Gender
Categorical

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct5
Distinct (%)0.1%
Missing114
Missing (%)2.9%
Memory size30.7 KiB
FEMALE
1908 
MALE
1865 
 
27
0
 
1
3
 
1

Length

Max length6
Median length6
Mean length4.9807996
Min length1

Characters and Unicode

Total characters18937
Distinct characters8
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st rowFEMALE
2nd rowMALE
3rd rowFEMALE
4th rowMALE
5th rowFEMALE

Common Values

ValueCountFrequency (%)
FEMALE 1908
48.7%
MALE 1865
47.6%
27
 
0.7%
0 1
 
< 0.1%
3 1
 
< 0.1%
(Missing) 114
 
2.9%

Length

2023-08-07T09:43:16.872596image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-07T09:43:18.035511image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
female 1908
50.5%
male 1865
49.4%
0 1
 
< 0.1%
3 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
E 5681
30.0%
M 3773
19.9%
A 3773
19.9%
L 3773
19.9%
F 1908
 
10.1%
27
 
0.1%
0 1
 
< 0.1%
3 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 18908
99.8%
Space Separator 27
 
0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 5681
30.0%
M 3773
20.0%
A 3773
20.0%
L 3773
20.0%
F 1908
 
10.1%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18908
99.8%
Common 29
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 5681
30.0%
M 3773
20.0%
A 3773
20.0%
L 3773
20.0%
F 1908
 
10.1%
Common
ValueCountFrequency (%)
27
93.1%
0 1
 
3.4%
3 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18937
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 5681
30.0%
M 3773
19.9%
A 3773
19.9%
L 3773
19.9%
F 1908
 
10.1%
27
 
0.1%
0 1
 
< 0.1%
3 1
 
< 0.1%

2011 Total
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct263
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.428754
Minimum0
Maximum103681
Zeros1240
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:19.202559image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16
Q340
95-th percentile129.25
Maximum103681
Range103681
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1712.5899
Coefficient of variation (CV)21.561334
Kurtosis3428.5641
Mean79.428754
Median Absolute Deviation (MAD)16
Skewness57.138073
Sum311043
Variance2932964.2
MonotonicityNot monotonic
2023-08-07T09:43:20.326511image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1240
31.7%
14 66
 
1.7%
16 66
 
1.7%
19 61
 
1.6%
15 61
 
1.6%
17 60
 
1.5%
20 59
 
1.5%
11 59
 
1.5%
6 57
 
1.5%
10 53
 
1.4%
Other values (253) 2134
54.5%
ValueCountFrequency (%)
0 1240
31.7%
1 21
 
0.5%
2 20
 
0.5%
3 24
 
0.6%
4 36
 
0.9%
5 39
 
1.0%
6 57
 
1.5%
7 50
 
1.3%
8 50
 
1.3%
9 51
 
1.3%
ValueCountFrequency (%)
103681 1
< 0.1%
17895 1
< 0.1%
17150 1
< 0.1%
6287 1
< 0.1%
3516 1
< 0.1%
3329 1
< 0.1%
2884 1
< 0.1%
2498 1
< 0.1%
2296 1
< 0.1%
2232 1
< 0.1%

%0-5 Points
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct550
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.369101
Minimum0
Maximum100
Zeros1478
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:21.458449image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11.1
Q333.3
95-th percentile64.35
Maximum100
Range100
Interquartile range (IQR)33.3

Descriptive statistics

Standard deviation22.703456
Coefficient of variation (CV)1.1721481
Kurtosis0.69841858
Mean19.369101
Median Absolute Deviation (MAD)11.1
Skewness1.1542214
Sum75849.4
Variance515.4469
MonotonicityNot monotonic
2023-08-07T09:43:22.684592image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1478
37.7%
50 64
 
1.6%
33.3 62
 
1.6%
25 54
 
1.4%
16.7 45
 
1.1%
20 39
 
1.0%
40 38
 
1.0%
14.3 30
 
0.8%
100 30
 
0.8%
28.6 30
 
0.8%
Other values (540) 2046
52.2%
ValueCountFrequency (%)
0 1478
37.7%
0.3 1
 
< 0.1%
0.4 1
 
< 0.1%
0.5 1
 
< 0.1%
0.6 2
 
0.1%
0.7 4
 
0.1%
0.8 2
 
0.1%
0.9 3
 
0.1%
1 3
 
0.1%
1.1 2
 
0.1%
ValueCountFrequency (%)
100 30
0.8%
93.8 1
 
< 0.1%
93.3 1
 
< 0.1%
90.5 1
 
< 0.1%
90 1
 
< 0.1%
89.5 1
 
< 0.1%
88.9 2
 
0.1%
87.5 1
 
< 0.1%
85.7 1
 
< 0.1%
85 1
 
< 0.1%

%6-10 Points
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct494
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.034806
Minimum0
Maximum100
Zeros1309
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:23.787399image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30
Q343.325
95-th percentile59.15
Maximum100
Range100
Interquartile range (IQR)43.325

Descriptive statistics

Standard deviation22.207197
Coefficient of variation (CV)0.8529811
Kurtosis-0.86996017
Mean26.034806
Median Absolute Deviation (MAD)20
Skewness0.20934721
Sum101952.3
Variance493.15962
MonotonicityNot monotonic
2023-08-07T09:43:24.831047image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1309
33.4%
50 129
 
3.3%
33.3 94
 
2.4%
25 67
 
1.7%
40 59
 
1.5%
42.9 53
 
1.4%
20 47
 
1.2%
37.5 44
 
1.1%
66.7 33
 
0.8%
30 29
 
0.7%
Other values (484) 2052
52.4%
ValueCountFrequency (%)
0 1309
33.4%
0.4 2
 
0.1%
0.8 1
 
< 0.1%
0.9 1
 
< 0.1%
1 1
 
< 0.1%
1.1 1
 
< 0.1%
1.2 1
 
< 0.1%
1.4 2
 
0.1%
1.5 1
 
< 0.1%
1.8 1
 
< 0.1%
ValueCountFrequency (%)
100 17
0.4%
90 1
 
< 0.1%
88.9 1
 
< 0.1%
85.7 1
 
< 0.1%
83.3 4
 
0.1%
82.6 1
 
< 0.1%
82.4 1
 
< 0.1%
81.8 1
 
< 0.1%
80.4 1
 
< 0.1%
80 1
 
< 0.1%

%11-15 Points
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct465
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.612998
Minimum0
Maximum100
Zeros1517
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:25.947831image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11.5
Q327.5
95-th percentile46
Maximum100
Range100
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation16.609441
Coefficient of variation (CV)1.0638213
Kurtosis0.12494618
Mean15.612998
Median Absolute Deviation (MAD)11.5
Skewness0.84613775
Sum61140.5
Variance275.87351
MonotonicityNot monotonic
2023-08-07T09:43:27.197535image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1517
38.7%
25 67
 
1.7%
33.3 64
 
1.6%
20 56
 
1.4%
16.7 47
 
1.2%
50 37
 
0.9%
14.3 34
 
0.9%
40 33
 
0.8%
12.5 33
 
0.8%
11.1 32
 
0.8%
Other values (455) 1996
51.0%
ValueCountFrequency (%)
0 1517
38.7%
1.3 1
 
< 0.1%
1.5 1
 
< 0.1%
1.6 1
 
< 0.1%
1.8 1
 
< 0.1%
2 2
 
0.1%
2.3 1
 
< 0.1%
2.6 2
 
0.1%
2.7 4
 
0.1%
2.8 1
 
< 0.1%
ValueCountFrequency (%)
100 4
0.1%
75 5
0.1%
71.4 1
 
< 0.1%
66.7 4
0.1%
65.2 1
 
< 0.1%
64.3 1
 
< 0.1%
63.6 3
0.1%
63.2 1
 
< 0.1%
63 1
 
< 0.1%
62.9 2
 
0.1%

%16-20 Points
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct378
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.246144
Minimum0
Maximum72.2
Zeros2201
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:28.285465image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38.3
95-th percentile30
Maximum72.2
Range72.2
Interquartile range (IQR)8.3

Descriptive statistics

Standard deviation11.048565
Coefficient of variation (CV)1.7688617
Kurtosis6.6185972
Mean6.246144
Median Absolute Deviation (MAD)0
Skewness2.4612799
Sum24459.9
Variance122.07079
MonotonicityNot monotonic
2023-08-07T09:43:29.363311image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2201
56.2%
16.7 36
 
0.9%
8.3 34
 
0.9%
6.3 27
 
0.7%
7.1 27
 
0.7%
5.9 27
 
0.7%
9.1 26
 
0.7%
10 25
 
0.6%
4.2 25
 
0.6%
12.5 25
 
0.6%
Other values (368) 1463
37.4%
ValueCountFrequency (%)
0 2201
56.2%
0.6 4
 
0.1%
0.7 1
 
< 0.1%
0.8 2
 
0.1%
0.9 3
 
0.1%
1 5
 
0.1%
1.1 6
 
0.2%
1.2 6
 
0.2%
1.3 5
 
0.1%
1.4 7
 
0.2%
ValueCountFrequency (%)
72.2 1
 
< 0.1%
70 1
 
< 0.1%
67.3 1
 
< 0.1%
66.7 1
 
< 0.1%
65.6 1
 
< 0.1%
63.8 1
 
< 0.1%
62.9 1
 
< 0.1%
60.9 1
 
< 0.1%
60.2 1
 
< 0.1%
60 3
0.1%

%21-25 Points
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct163
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0744127
Minimum0
Maximum100
Zeros3293
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:30.495093image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.825
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.5795703
Coefficient of variation (CV)4.2623942
Kurtosis114.56814
Mean1.0744127
Median Absolute Deviation (MAD)0
Skewness8.9086464
Sum4207.4
Variance20.972464
MonotonicityNot monotonic
2023-08-07T09:43:31.678833image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3293
84.1%
2.3 18
 
0.5%
1.5 17
 
0.4%
1.8 15
 
0.4%
2.9 15
 
0.4%
2 15
 
0.4%
4.5 13
 
0.3%
3.6 12
 
0.3%
1.3 11
 
0.3%
3.3 11
 
0.3%
Other values (153) 496
 
12.7%
ValueCountFrequency (%)
0 3293
84.1%
0.1 2
 
0.1%
0.2 4
 
0.1%
0.3 4
 
0.1%
0.4 6
 
0.2%
0.5 7
 
0.2%
0.6 5
 
0.1%
0.7 7
 
0.2%
0.8 6
 
0.2%
0.9 10
 
0.3%
ValueCountFrequency (%)
100 1
< 0.1%
69.8 1
< 0.1%
57.9 1
< 0.1%
56.7 1
< 0.1%
56.5 1
< 0.1%
55.9 1
< 0.1%
52.1 1
< 0.1%
50 1
< 0.1%
44.4 1
< 0.1%
42.2 1
< 0.1%

2012 Total
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct271
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.31001
Minimum0
Maximum111358
Zeros985
Zeros (%)25.2%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:32.780157image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median18
Q341.25
95-th percentile135
Maximum111358
Range111358
Interquartile range (IQR)41.25

Descriptive statistics

Standard deviation1836.0833
Coefficient of variation (CV)21.522484
Kurtosis3452.7146
Mean85.31001
Median Absolute Deviation (MAD)18
Skewness57.394938
Sum334074
Variance3371202
MonotonicityNot monotonic
2023-08-07T09:43:33.879356image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 985
25.2%
14 76
 
1.9%
10 75
 
1.9%
8 69
 
1.8%
13 68
 
1.7%
12 68
 
1.7%
15 68
 
1.7%
16 62
 
1.6%
23 62
 
1.6%
20 62
 
1.6%
Other values (261) 2321
59.3%
ValueCountFrequency (%)
0 985
25.2%
1 21
 
0.5%
2 20
 
0.5%
3 37
 
0.9%
4 39
 
1.0%
5 58
 
1.5%
6 53
 
1.4%
7 47
 
1.2%
8 69
 
1.8%
9 57
 
1.5%
ValueCountFrequency (%)
111358 1
< 0.1%
19024 1
< 0.1%
17291 1
< 0.1%
6679 1
< 0.1%
3849 1
< 0.1%
3765 1
< 0.1%
2916 1
< 0.1%
2776 1
< 0.1%
2502 1
< 0.1%
2485 1
< 0.1%

%0-5 Points.1
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct527
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.669331
Minimum0
Maximum100
Zeros1235
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:35.005440image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13.3
Q332.75
95-th percentile60
Maximum100
Range100
Interquartile range (IQR)32.75

Descriptive statistics

Standard deviation21.26056
Coefficient of variation (CV)1.080899
Kurtosis0.82983853
Mean19.669331
Median Absolute Deviation (MAD)13.3
Skewness1.106959
Sum77025.1
Variance452.01141
MonotonicityNot monotonic
2023-08-07T09:43:36.371405image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1235
31.5%
50 84
 
2.1%
33.3 73
 
1.9%
25 70
 
1.8%
20 60
 
1.5%
28.6 39
 
1.0%
40 39
 
1.0%
16.7 36
 
0.9%
14.3 33
 
0.8%
12.5 29
 
0.7%
Other values (517) 2218
56.6%
ValueCountFrequency (%)
0 1235
31.5%
0.6 2
 
0.1%
0.7 2
 
0.1%
0.8 2
 
0.1%
0.9 6
 
0.2%
1 6
 
0.2%
1.1 4
 
0.1%
1.2 3
 
0.1%
1.3 8
 
0.2%
1.4 4
 
0.1%
ValueCountFrequency (%)
100 28
0.7%
95.2 1
 
< 0.1%
88.9 1
 
< 0.1%
87.5 5
 
0.1%
83.3 3
 
0.1%
81.8 1
 
< 0.1%
81 1
 
< 0.1%
80 9
 
0.2%
78.6 1
 
< 0.1%
77.8 2
 
0.1%

%6-10 Points.1
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct515
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.053779
Minimum0
Maximum100
Zeros1041
Zeros (%)26.6%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:37.518375image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median34.65
Q346.6
95-th percentile62.2
Maximum100
Range100
Interquartile range (IQR)46.6

Descriptive statistics

Standard deviation22.300994
Coefficient of variation (CV)0.74203624
Kurtosis-0.77982975
Mean30.053779
Median Absolute Deviation (MAD)15.35
Skewness0.0047688174
Sum117690.6
Variance497.33431
MonotonicityNot monotonic
2023-08-07T09:43:38.670547image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1041
26.6%
50 162
 
4.1%
33.3 109
 
2.8%
40 80
 
2.0%
25 57
 
1.5%
42.9 53
 
1.4%
37.5 42
 
1.1%
66.7 39
 
1.0%
45.5 38
 
1.0%
44.4 38
 
1.0%
Other values (505) 2257
57.6%
ValueCountFrequency (%)
0 1041
26.6%
0.3 1
 
< 0.1%
0.5 1
 
< 0.1%
0.7 1
 
< 0.1%
0.8 2
 
0.1%
0.9 1
 
< 0.1%
1 2
 
0.1%
1.2 1
 
< 0.1%
1.4 1
 
< 0.1%
1.5 3
 
0.1%
ValueCountFrequency (%)
100 19
0.5%
91.7 1
 
< 0.1%
88.9 1
 
< 0.1%
87.5 1
 
< 0.1%
85.7 3
 
0.1%
84.6 1
 
< 0.1%
83.3 6
 
0.2%
82.4 1
 
< 0.1%
80 9
0.2%
78.6 1
 
< 0.1%

%11-15 Points.1
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct485
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.875868
Minimum0
Maximum100
Zeros1267
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:39.795713image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15.6
Q330.4
95-th percentile47.6
Maximum100
Range100
Interquartile range (IQR)30.4

Descriptive statistics

Standard deviation17.009601
Coefficient of variation (CV)0.95153988
Kurtosis-0.096858305
Mean17.875868
Median Absolute Deviation (MAD)15.6
Skewness0.67945306
Sum70001.9
Variance289.32654
MonotonicityNot monotonic
2023-08-07T09:43:40.892982image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1267
32.4%
25 85
 
2.2%
33.3 78
 
2.0%
20 56
 
1.4%
50 52
 
1.3%
16.7 50
 
1.3%
14.3 44
 
1.1%
40 43
 
1.1%
12.5 42
 
1.1%
22.2 32
 
0.8%
Other values (475) 2167
55.3%
ValueCountFrequency (%)
0 1267
32.4%
1.5 1
 
< 0.1%
1.7 1
 
< 0.1%
1.8 1
 
< 0.1%
2.1 2
 
0.1%
2.4 1
 
< 0.1%
2.7 3
 
0.1%
2.8 3
 
0.1%
2.9 3
 
0.1%
3 2
 
0.1%
ValueCountFrequency (%)
100 4
0.1%
80 3
0.1%
77.8 1
 
< 0.1%
76.9 2
 
0.1%
75 1
 
< 0.1%
71.4 2
 
0.1%
70.8 1
 
< 0.1%
70 1
 
< 0.1%
68.4 1
 
< 0.1%
66.7 5
0.1%

%16-20 Points.1
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct374
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2233657
Minimum0
Maximum65.4
Zeros2073
Zeros (%)52.9%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:42.030855image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39.1
95-th percentile27.925
Maximum65.4
Range65.4
Interquartile range (IQR)9.1

Descriptive statistics

Standard deviation10.230743
Coefficient of variation (CV)1.6439245
Kurtosis6.291907
Mean6.2233657
Median Absolute Deviation (MAD)0
Skewness2.3402491
Sum24370.7
Variance104.66811
MonotonicityNot monotonic
2023-08-07T09:43:43.119874image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2073
52.9%
10 43
 
1.1%
11.1 35
 
0.9%
8.3 33
 
0.8%
20 33
 
0.8%
12.5 30
 
0.8%
9.1 30
 
0.8%
16.7 30
 
0.8%
7.7 29
 
0.7%
6.3 29
 
0.7%
Other values (364) 1551
39.6%
ValueCountFrequency (%)
0 2073
52.9%
0.4 1
 
< 0.1%
0.5 1
 
< 0.1%
0.6 2
 
0.1%
0.7 3
 
0.1%
0.8 1
 
< 0.1%
0.9 2
 
0.1%
1 7
 
0.2%
1.1 5
 
0.1%
1.2 6
 
0.2%
ValueCountFrequency (%)
65.4 1
< 0.1%
64.1 1
< 0.1%
64 1
< 0.1%
60.9 2
0.1%
60.6 1
< 0.1%
59.3 1
< 0.1%
58.3 1
< 0.1%
57.7 1
< 0.1%
57.1 1
< 0.1%
57 1
< 0.1%

%21-25 Points.1
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct164
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0272217
Minimum0
Maximum69.6
Zeros3235
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:44.412945image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum69.6
Range69.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.9054973
Coefficient of variation (CV)3.8020005
Kurtosis90.810911
Mean1.0272217
Median Absolute Deviation (MAD)0
Skewness7.9722761
Sum4022.6
Variance15.252909
MonotonicityNot monotonic
2023-08-07T09:43:45.549816image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3235
82.6%
2.9 20
 
0.5%
1.1 20
 
0.5%
2.2 19
 
0.5%
2.6 17
 
0.4%
1.9 14
 
0.4%
1 14
 
0.4%
3.8 14
 
0.4%
4.3 13
 
0.3%
2.1 13
 
0.3%
Other values (154) 537
 
13.7%
ValueCountFrequency (%)
0 3235
82.6%
0.1 1
 
< 0.1%
0.2 6
 
0.2%
0.3 8
 
0.2%
0.4 1
 
< 0.1%
0.5 5
 
0.1%
0.6 11
 
0.3%
0.7 9
 
0.2%
0.8 9
 
0.2%
0.9 5
 
0.1%
ValueCountFrequency (%)
69.6 1
< 0.1%
65.1 1
< 0.1%
55.2 1
< 0.1%
52.3 1
< 0.1%
51 1
< 0.1%
47.5 1
< 0.1%
41.8 1
< 0.1%
39.7 1
< 0.1%
36.9 1
< 0.1%
36.2 1
< 0.1%

2013 Total
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct275
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177.93003
Minimum0
Maximum232258
Zeros553
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:46.674432image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median40
Q384
95-th percentile268
Maximum232258
Range232258
Interquartile range (IQR)70

Descriptive statistics

Standard deviation3818.1705
Coefficient of variation (CV)21.458831
Kurtosis3492.9164
Mean177.93003
Median Absolute Deviation (MAD)30
Skewness57.827036
Sum696774
Variance14578426
MonotonicityNot monotonic
2023-08-07T09:43:47.777336image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 553
 
14.1%
22 96
 
2.5%
20 94
 
2.4%
18 92
 
2.3%
32 87
 
2.2%
24 85
 
2.2%
42 80
 
2.0%
14 77
 
2.0%
10 74
 
1.9%
30 73
 
1.9%
Other values (265) 2605
66.5%
ValueCountFrequency (%)
0 553
14.1%
2 35
 
0.9%
4 54
 
1.4%
6 68
 
1.7%
8 62
 
1.6%
10 74
 
1.9%
12 62
 
1.6%
14 77
 
2.0%
16 70
 
1.8%
18 92
 
2.3%
ValueCountFrequency (%)
232258 1
< 0.1%
38588 1
< 0.1%
32602 1
< 0.1%
13430 1
< 0.1%
7530 1
< 0.1%
7492 1
< 0.1%
5968 1
< 0.1%
5770 1
< 0.1%
5370 1
< 0.1%
5094 1
< 0.1%

%0-5 Points.2
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct681
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.931793
Minimum0
Maximum100
Zeros645
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:48.947559image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113.8
median40
Q362.35
95-th percentile88.9
Maximum100
Range100
Interquartile range (IQR)48.55

Descriptive statistics

Standard deviation28.996888
Coefficient of variation (CV)0.72616045
Kurtosis-0.97301712
Mean39.931793
Median Absolute Deviation (MAD)23.6
Skewness0.17979033
Sum156372.9
Variance840.81953
MonotonicityNot monotonic
2023-08-07T09:43:50.043375image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 645
 
16.5%
50 157
 
4.0%
100 137
 
3.5%
33.3 84
 
2.1%
66.7 79
 
2.0%
75 62
 
1.6%
60 55
 
1.4%
40 48
 
1.2%
25 40
 
1.0%
42.9 38
 
1.0%
Other values (671) 2571
65.7%
ValueCountFrequency (%)
0 645
16.5%
0.7 3
 
0.1%
0.9 4
 
0.1%
1 4
 
0.1%
1.1 2
 
0.1%
1.2 4
 
0.1%
1.3 2
 
0.1%
1.4 1
 
< 0.1%
1.5 2
 
0.1%
1.6 3
 
0.1%
ValueCountFrequency (%)
100 137
3.5%
95.7 2
 
0.1%
95 1
 
< 0.1%
94.8 1
 
< 0.1%
94.4 1
 
< 0.1%
94.1 1
 
< 0.1%
93.8 2
 
0.1%
93.5 2
 
0.1%
93.3 2
 
0.1%
92.9 1
 
< 0.1%

%6-10 Points.2
Real number (ℝ)

Distinct509
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.680797
Minimum0
Maximum100
Zeros711
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:51.100605image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.7
median34.55
Q346.2
95-th percentile61.5
Maximum100
Range100
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation20.60243
Coefficient of variation (CV)0.65031289
Kurtosis-0.2780007
Mean31.680797
Median Absolute Deviation (MAD)13.85
Skewness0.027199001
Sum124062
Variance424.46014
MonotonicityNot monotonic
2023-08-07T09:43:52.374187image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 711
 
18.2%
50 183
 
4.7%
33.3 113
 
2.9%
25 88
 
2.2%
40 78
 
2.0%
20 58
 
1.5%
42.9 57
 
1.5%
28.6 43
 
1.1%
36.4 42
 
1.1%
30 40
 
1.0%
Other values (499) 2503
63.9%
ValueCountFrequency (%)
0 711
18.2%
1.2 1
 
< 0.1%
1.9 1
 
< 0.1%
2.2 1
 
< 0.1%
2.6 1
 
< 0.1%
2.8 1
 
< 0.1%
2.9 1
 
< 0.1%
3.1 1
 
< 0.1%
3.4 1
 
< 0.1%
3.5 1
 
< 0.1%
ValueCountFrequency (%)
100 26
0.7%
92.3 1
 
< 0.1%
90 1
 
< 0.1%
88.9 2
 
0.1%
85.7 2
 
0.1%
83.3 4
 
0.1%
80 2
 
0.1%
77.8 2
 
0.1%
76.2 2
 
0.1%
75 13
0.3%

%11-15 Points.2
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct470
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.301124
Minimum0
Maximum100
Zeros1422
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:53.521108image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7.1
Q319.85
95-th percentile43.825
Maximum100
Range100
Interquartile range (IQR)19.85

Descriptive statistics

Standard deviation14.680369
Coefficient of variation (CV)1.1934169
Kurtosis1.383627
Mean12.301124
Median Absolute Deviation (MAD)7.1
Skewness1.3490732
Sum48171.2
Variance215.51322
MonotonicityNot monotonic
2023-08-07T09:43:54.753778image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1422
36.3%
20 58
 
1.5%
25 56
 
1.4%
14.3 50
 
1.3%
16.7 48
 
1.2%
11.1 45
 
1.1%
10 44
 
1.1%
12.5 44
 
1.1%
8.3 43
 
1.1%
33.3 39
 
1.0%
Other values (460) 2067
52.8%
ValueCountFrequency (%)
0 1422
36.3%
0.5 1
 
< 0.1%
1 3
 
0.1%
1.1 2
 
0.1%
1.2 1
 
< 0.1%
1.6 4
 
0.1%
1.7 3
 
0.1%
1.8 5
 
0.1%
1.9 5
 
0.1%
2 7
 
0.2%
ValueCountFrequency (%)
100 1
< 0.1%
75 1
< 0.1%
73.9 1
< 0.1%
70.4 1
< 0.1%
67.5 1
< 0.1%
66.7 1
< 0.1%
66 1
< 0.1%
65.2 1
< 0.1%
64.4 2
0.1%
64.1 2
0.1%

%16-20 Points.2
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct230
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9670582
Minimum0
Maximum78
Zeros2967
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:55.905908image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10.6
Maximum78
Range78
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.1379179
Coefficient of variation (CV)3.1203539
Kurtosis43.958994
Mean1.9670582
Median Absolute Deviation (MAD)0
Skewness5.8347382
Sum7703
Variance37.674036
MonotonicityNot monotonic
2023-08-07T09:43:57.059658image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2967
75.8%
6.3 27
 
0.7%
2.4 25
 
0.6%
2.9 21
 
0.5%
2.6 21
 
0.5%
4.3 20
 
0.5%
1.5 19
 
0.5%
3.6 17
 
0.4%
2.2 17
 
0.4%
2.1 16
 
0.4%
Other values (220) 766
 
19.6%
ValueCountFrequency (%)
0 2967
75.8%
0.1 1
 
< 0.1%
0.2 4
 
0.1%
0.3 3
 
0.1%
0.4 3
 
0.1%
0.5 4
 
0.1%
0.6 4
 
0.1%
0.7 5
 
0.1%
0.8 8
 
0.2%
0.9 6
 
0.2%
ValueCountFrequency (%)
78 1
< 0.1%
69.9 1
< 0.1%
69.3 1
< 0.1%
65.3 1
< 0.1%
62.7 1
< 0.1%
62.3 1
< 0.1%
58.4 1
< 0.1%
58.1 1
< 0.1%
57.3 1
< 0.1%
56.5 1
< 0.1%

2014 Total
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct266
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.938968
Minimum0
Maximum108263
Zeros358
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:43:58.339605image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median18
Q338
95-th percentile121.25
Maximum108263
Range108263
Interquartile range (IQR)30

Descriptive statistics

Standard deviation1782.9525
Coefficient of variation (CV)21.497162
Kurtosis3468.7212
Mean82.938968
Median Absolute Deviation (MAD)13
Skewness57.569153
Sum324789
Variance3178919.5
MonotonicityNot monotonic
2023-08-07T09:43:59.520569image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 358
 
9.1%
11 120
 
3.1%
9 112
 
2.9%
8 111
 
2.8%
10 104
 
2.7%
13 103
 
2.6%
7 102
 
2.6%
14 95
 
2.4%
6 94
 
2.4%
12 93
 
2.4%
Other values (256) 2624
67.0%
ValueCountFrequency (%)
0 358
9.1%
1 62
 
1.6%
2 78
 
2.0%
3 74
 
1.9%
4 82
 
2.1%
5 91
 
2.3%
6 94
 
2.4%
7 102
 
2.6%
8 111
 
2.8%
9 112
 
2.9%
ValueCountFrequency (%)
108263 1
< 0.1%
18975 1
< 0.1%
15306 1
< 0.1%
6635 1
< 0.1%
3604 1
< 0.1%
3455 1
< 0.1%
2894 1
< 0.1%
2772 1
< 0.1%
2571 1
< 0.1%
2384 1
< 0.1%

%0-5 Points.3
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct625
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.815041
Minimum0
Maximum100
Zeros535
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:44:00.800479image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.1
median34.65
Q356.1
95-th percentile87.5
Maximum100
Range100
Interquartile range (IQR)42

Descriptive statistics

Standard deviation27.452396
Coefficient of variation (CV)0.74568426
Kurtosis-0.64135867
Mean36.815041
Median Absolute Deviation (MAD)20.95
Skewness0.42373597
Sum144167.7
Variance753.63406
MonotonicityNot monotonic
2023-08-07T09:44:01.921464image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 535
 
13.7%
50 162
 
4.1%
100 139
 
3.5%
33.3 89
 
2.3%
66.7 87
 
2.2%
25 83
 
2.1%
40 55
 
1.4%
20 53
 
1.4%
28.6 52
 
1.3%
75 48
 
1.2%
Other values (615) 2613
66.7%
ValueCountFrequency (%)
0 535
13.7%
0.4 1
 
< 0.1%
0.5 1
 
< 0.1%
0.7 1
 
< 0.1%
0.8 1
 
< 0.1%
0.9 2
 
0.1%
1 2
 
0.1%
1.1 2
 
0.1%
1.2 5
 
0.1%
1.4 2
 
0.1%
ValueCountFrequency (%)
100 139
3.5%
96 1
 
< 0.1%
95.7 1
 
< 0.1%
94.7 1
 
< 0.1%
93.8 2
 
0.1%
93.3 2
 
0.1%
92.9 2
 
0.1%
92.3 3
 
0.1%
91.7 6
 
0.2%
91.4 1
 
< 0.1%

%6-10 Points.3
Real number (ℝ)

Distinct477
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.95429
Minimum0
Maximum100
Zeros542
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:44:03.087529image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122.2
median36
Q346.7
95-th percentile63.2
Maximum100
Range100
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation20.059448
Coefficient of variation (CV)0.59077801
Kurtosis0.19802942
Mean33.95429
Median Absolute Deviation (MAD)11.6
Skewness0.052175543
Sum132965
Variance402.38145
MonotonicityNot monotonic
2023-08-07T09:44:04.298484image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 542
 
13.8%
50 211
 
5.4%
33.3 164
 
4.2%
25 104
 
2.7%
40 81
 
2.1%
42.9 73
 
1.9%
20 64
 
1.6%
28.6 61
 
1.6%
37.5 60
 
1.5%
44.4 52
 
1.3%
Other values (467) 2504
63.9%
ValueCountFrequency (%)
0 542
13.8%
0.4 1
 
< 0.1%
1.1 2
 
0.1%
1.4 1
 
< 0.1%
2 1
 
< 0.1%
2.1 2
 
0.1%
2.3 1
 
< 0.1%
2.4 1
 
< 0.1%
2.6 1
 
< 0.1%
2.8 1
 
< 0.1%
ValueCountFrequency (%)
100 35
0.9%
90 1
 
< 0.1%
87.5 1
 
< 0.1%
85.7 6
 
0.2%
83.3 7
 
0.2%
82.4 1
 
< 0.1%
81.8 4
 
0.1%
81.3 1
 
< 0.1%
80 14
 
0.4%
78.6 1
 
< 0.1%

%11-15 Points.3
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct495
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.549821
Minimum0
Maximum100
Zeros1161
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:44:05.506970image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.5
Q327.1
95-th percentile48.625
Maximum100
Range100
Interquartile range (IQR)27.1

Descriptive statistics

Standard deviation16.556906
Coefficient of variation (CV)1.0004281
Kurtosis0.96460531
Mean16.549821
Median Absolute Deviation (MAD)12.5
Skewness1.0235819
Sum64809.1
Variance274.13115
MonotonicityNot monotonic
2023-08-07T09:44:06.593664image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1161
29.6%
25 82
 
2.1%
33.3 77
 
2.0%
14.3 73
 
1.9%
20 72
 
1.8%
12.5 64
 
1.6%
10 60
 
1.5%
11.1 58
 
1.5%
16.7 55
 
1.4%
50 43
 
1.1%
Other values (485) 2171
55.4%
ValueCountFrequency (%)
0 1161
29.6%
0.9 1
 
< 0.1%
1 1
 
< 0.1%
1.3 1
 
< 0.1%
1.8 1
 
< 0.1%
1.9 1
 
< 0.1%
2 3
 
0.1%
2.2 1
 
< 0.1%
2.3 4
 
0.1%
2.4 1
 
< 0.1%
ValueCountFrequency (%)
100 8
0.2%
76.9 1
 
< 0.1%
75 2
 
0.1%
73.3 1
 
< 0.1%
72.4 1
 
< 0.1%
70 2
 
0.1%
68.7 1
 
< 0.1%
68.2 1
 
< 0.1%
67.9 1
 
< 0.1%
66.7 7
0.2%

%16-20 Points.3
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct281
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5410878
Minimum0
Maximum100
Zeros2587
Zeros (%)66.1%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:44:07.742889image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.7
95-th percentile16.7
Maximum100
Range100
Interquartile range (IQR)3.7

Descriptive statistics

Standard deviation8.6066302
Coefficient of variation (CV)2.4305046
Kurtosis28.904205
Mean3.5410878
Median Absolute Deviation (MAD)0
Skewness4.6527821
Sum13866.9
Variance74.074084
MonotonicityNot monotonic
2023-08-07T09:44:08.954767image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2587
66.1%
6.3 34
 
0.9%
8.3 32
 
0.8%
4.3 30
 
0.8%
2.9 29
 
0.7%
14.3 26
 
0.7%
7.1 25
 
0.6%
4.8 24
 
0.6%
5 23
 
0.6%
16.7 22
 
0.6%
Other values (271) 1084
27.7%
ValueCountFrequency (%)
0 2587
66.1%
0.2 1
 
< 0.1%
0.4 1
 
< 0.1%
0.6 3
 
0.1%
0.7 7
 
0.2%
0.8 4
 
0.1%
0.9 6
 
0.2%
1 8
 
0.2%
1.1 6
 
0.2%
1.2 9
 
0.2%
ValueCountFrequency (%)
100 1
< 0.1%
92 1
< 0.1%
82.7 1
< 0.1%
80.8 1
< 0.1%
77.1 1
< 0.1%
71.9 1
< 0.1%
70.9 1
< 0.1%
70.5 1
< 0.1%
69.6 1
< 0.1%
69 1
< 0.1%

2015 Total
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct258
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.1476
Minimum0
Maximum100705
Zeros296
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:44:10.182182image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median16
Q334
95-th percentile118
Maximum100705
Range100705
Interquartile range (IQR)27

Descriptive statistics

Standard deviation1660.9133
Coefficient of variation (CV)21.529034
Kurtosis3449.1194
Mean77.1476
Median Absolute Deviation (MAD)11
Skewness57.364073
Sum302110
Variance2758633
MonotonicityNot monotonic
2023-08-07T09:44:11.280348image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 296
 
7.6%
9 142
 
3.6%
7 128
 
3.3%
10 125
 
3.2%
11 114
 
2.9%
6 112
 
2.9%
2 111
 
2.8%
4 109
 
2.8%
3 106
 
2.7%
12 106
 
2.7%
Other values (248) 2567
65.6%
ValueCountFrequency (%)
0 296
7.6%
1 86
 
2.2%
2 111
 
2.8%
3 106
 
2.7%
4 109
 
2.8%
5 100
 
2.6%
6 112
 
2.9%
7 128
3.3%
8 102
 
2.6%
9 142
3.6%
ValueCountFrequency (%)
100705 1
< 0.1%
18552 1
< 0.1%
14135 1
< 0.1%
6542 1
< 0.1%
3019 1
< 0.1%
2998 1
< 0.1%
2768 1
< 0.1%
2573 1
< 0.1%
2395 1
< 0.1%
2311 1
< 0.1%

%0-5 Points.4
Real number (ℝ)

Distinct759
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.830439
Minimum0
Maximum100
Zeros457
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:44:12.414239image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.7
median34.1
Q351.9
95-th percentile80
Maximum100
Range100
Interquartile range (IQR)35.2

Descriptive statistics

Standard deviation24.906434
Coefficient of variation (CV)0.69511941
Kurtosis-0.31380893
Mean35.830439
Median Absolute Deviation (MAD)17.6
Skewness0.42869164
Sum140312
Variance620.33044
MonotonicityNot monotonic
2023-08-07T09:44:13.543920image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 457
 
11.7%
50 120
 
3.1%
100 106
 
2.7%
33.3 80
 
2.0%
66.7 58
 
1.5%
20 57
 
1.5%
25 56
 
1.4%
60 37
 
0.9%
40 37
 
0.9%
28.6 36
 
0.9%
Other values (749) 2872
73.3%
ValueCountFrequency (%)
0 457
11.7%
0.4 1
 
< 0.1%
0.5 1
 
< 0.1%
0.7 3
 
0.1%
0.8 3
 
0.1%
0.9 2
 
0.1%
1 2
 
0.1%
1.1 7
 
0.2%
1.2 3
 
0.1%
1.3 1
 
< 0.1%
ValueCountFrequency (%)
100 106
2.7%
96 1
 
< 0.1%
95 1
 
< 0.1%
93.9 1
 
< 0.1%
92.3 2
 
0.1%
92.2 1
 
< 0.1%
90.8 1
 
< 0.1%
90.5 2
 
0.1%
90.4 1
 
< 0.1%
90 4
 
0.1%

%6-10 Points.4
Real number (ℝ)

Distinct465
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.399591
Minimum0
Maximum100
Zeros512
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:44:14.646285image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125
median41.2
Q352.1
95-th percentile70
Maximum100
Range100
Interquartile range (IQR)27.1

Descriptive statistics

Standard deviation21.892027
Coefficient of variation (CV)0.57011095
Kurtosis-0.022539173
Mean38.399591
Median Absolute Deviation (MAD)12.6
Skewness-0.064259803
Sum150372.8
Variance479.26086
MonotonicityNot monotonic
2023-08-07T09:44:15.769344image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 512
 
13.1%
50 258
 
6.6%
33.3 156
 
4.0%
40 102
 
2.6%
25 83
 
2.1%
42.9 82
 
2.1%
66.7 79
 
2.0%
100 62
 
1.6%
60 60
 
1.5%
20 54
 
1.4%
Other values (455) 2468
63.0%
ValueCountFrequency (%)
0 512
13.1%
0.4 1
 
< 0.1%
2 1
 
< 0.1%
3.6 1
 
< 0.1%
3.8 1
 
< 0.1%
5 1
 
< 0.1%
5.3 1
 
< 0.1%
5.9 2
 
0.1%
6.7 5
 
0.1%
7.4 2
 
0.1%
ValueCountFrequency (%)
100 62
1.6%
91.7 1
 
< 0.1%
90 2
 
0.1%
88.9 3
 
0.1%
87.5 1
 
< 0.1%
85.7 9
 
0.2%
84.6 3
 
0.1%
83.3 9
 
0.2%
82.8 1
 
< 0.1%
82.4 1
 
< 0.1%

%11-15 Points.4
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct461
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.568284
Minimum0
Maximum100
Zeros1459
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:44:16.939486image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q320
95-th percentile43.975
Maximum100
Range100
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.235757
Coefficient of variation (CV)1.2122384
Kurtosis3.1162087
Mean12.568284
Median Absolute Deviation (MAD)8
Skewness1.5972518
Sum49217.4
Variance232.12829
MonotonicityNot monotonic
2023-08-07T09:44:18.172287image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1459
37.3%
16.7 80
 
2.0%
14.3 76
 
1.9%
25 74
 
1.9%
20 72
 
1.8%
33.3 61
 
1.6%
11.1 60
 
1.5%
10 56
 
1.4%
9.1 51
 
1.3%
12.5 44
 
1.1%
Other values (451) 1883
48.1%
ValueCountFrequency (%)
0 1459
37.3%
0.9 2
 
0.1%
1 3
 
0.1%
1.1 1
 
< 0.1%
1.3 2
 
0.1%
1.4 2
 
0.1%
1.5 1
 
< 0.1%
1.6 1
 
< 0.1%
1.7 1
 
< 0.1%
1.8 2
 
0.1%
ValueCountFrequency (%)
100 7
0.2%
82.4 1
 
< 0.1%
80 1
 
< 0.1%
77.8 1
 
< 0.1%
77.3 1
 
< 0.1%
75 2
 
0.1%
72 1
 
< 0.1%
70 1
 
< 0.1%
69.4 1
 
< 0.1%
69.2 1
 
< 0.1%

%16-20 Points.4
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct157
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2046476
Minimum0
Maximum100
Zeros3183
Zeros (%)81.3%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-08-07T09:44:19.263910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.1
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.5713432
Coefficient of variation (CV)3.7947556
Kurtosis187.13943
Mean1.2046476
Median Absolute Deviation (MAD)0
Skewness10.785448
Sum4717.4
Variance20.897179
MonotonicityNot monotonic
2023-08-07T09:44:23.039505image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3183
81.3%
1.9 24
 
0.6%
2.4 20
 
0.5%
4.5 18
 
0.5%
2.3 17
 
0.4%
3.3 17
 
0.4%
2.9 16
 
0.4%
3.4 16
 
0.4%
7.1 15
 
0.4%
3.6 13
 
0.3%
Other values (147) 577
 
14.7%
ValueCountFrequency (%)
0 3183
81.3%
0.1 1
 
< 0.1%
0.2 1
 
< 0.1%
0.3 2
 
0.1%
0.4 4
 
0.1%
0.5 9
 
0.2%
0.6 7
 
0.2%
0.7 5
 
0.1%
0.8 3
 
0.1%
0.9 11
 
0.3%
ValueCountFrequency (%)
100 3
0.1%
59.4 1
 
< 0.1%
51.8 1
 
< 0.1%
46.4 1
 
< 0.1%
36.8 1
 
< 0.1%
33.3 2
0.1%
32.4 1
 
< 0.1%
31.1 1
 
< 0.1%
30.8 1
 
< 0.1%
30.7 1
 
< 0.1%

Interactions

2023-08-07T09:42:43.305848image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:31:53.395977image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:19.731755image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:45.406617image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:10.622187image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:36.796204image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:12.565730image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:47.773811image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:13.426986image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:36.453454image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:57.909448image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:19.561906image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:42.468979image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:06.305447image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:28.588269image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:51.395380image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:15.818554image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:38.148160image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:01.911417image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:26.360592image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:56.933968image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:20.618695image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:45.901633image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:10.232560image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:33.519926image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:56.258491image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:20.658663image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:44.097231image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:31:55.556645image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:20.796755image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:46.336843image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:11.667616image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:37.985932image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:14.134349image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:48.560484image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:14.210723image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:37.242471image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:58.683344image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:20.409477image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:43.284358image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:07.095937image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:29.427012image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:52.439658image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:16.621062image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:38.978641image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:02.698630image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:27.589354image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:57.783899image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:21.607088image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:46.888356image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:10.981400image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:34.338283image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:57.143945image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:21.490784image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:45.047679image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:31:56.894662image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:22.114541image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:47.285985image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:12.479702image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:39.570140image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:15.737600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:49.397791image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:15.372882image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:37.970667image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:59.440452image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:21.250039image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:44.087944image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:07.974858image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:30.231518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:53.369564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:17.364541image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:39.927663image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:03.610992image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:28.679078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:58.631840image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:22.477073image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:47.674978image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:11.934332image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:35.168985image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:58.007755image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:22.312293image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:45.836749image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:31:57.816422image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:22.976998image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:48.189896image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:13.332233image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:40.802843image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:17.199939image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:50.356581image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:16.139183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:38.743236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:00.217600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:22.019847image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:44.876018image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:08.793018image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:31.220273image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:54.319548image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:18.121854image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:40.814678image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:04.458895image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:30.121615image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:59.432884image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:23.665632image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:48.544466image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:12.871589image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:35.985621image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:58.793700image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:23.097805image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:46.571935image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:31:58.689265image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:23.831622image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:49.089914image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:14.184058image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:42.104012image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:18.681470image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:51.260155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:16.929468image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:39.468252image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:01.037194image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:22.809983image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:45.652027image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:09.613160image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:32.090550image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:55.168978image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:18.882462image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:41.716956image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:05.550767image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:31.416992image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:00.271188image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:24.886117image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:49.480182image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:13.648195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:36.813362image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:59.564962image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:23.931376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:47.425567image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:31:59.577680image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:24.804322image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:49.985375image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:15.094104image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:43.467163image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:20.309724image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:52.482386image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:17.853286image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:40.271581image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:01.858700image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:23.628608image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:46.499619image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2023-08-07T09:35:30.101680image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:52.420133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:13.898476image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:35.890797image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:59.115561image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:22.766506image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:45.715013image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:10.260371image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:32.583730image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:55.678815image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:19.361414image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:49.086420image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:14.965364image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:39.888390image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:04.256444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:27.687621image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:49.967600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:14.973141image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:37.451442image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:43:01.083315image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:14.529455image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:39.767939image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:05.307192image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:30.368673image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:05.666536image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:41.542031image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:08.664647image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:30.913256image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:53.174599image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:14.669269image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:36.679974image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:59.972375image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:23.631789image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:46.481004image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:11.009866image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:33.355880image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:56.623250image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:20.320439image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:51.998217image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:15.761844image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:40.708208image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:05.123399image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:28.473648image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:50.882988image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:15.762065image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:38.257955image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:43:02.059422image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:15.439165image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:40.714792image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:06.236385image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:31.938185image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:07.016927image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:42.979612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:09.429020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:31.643510image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:53.940909image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:15.386455image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:38.518891image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:00.942336image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:24.598302image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:47.266398image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:11.775058image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:34.110542image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:57.526335image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:21.171268image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:52.773418image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:16.532913image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:41.575804image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:06.009002image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:29.467030image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:51.664100image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:16.572207image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:39.157389image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:43:02.858263image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:16.242296image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:41.888473image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:07.090909image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:32.802703image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:08.130767image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:44.149797image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:10.281668image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:32.395028image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:54.708412image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:16.149723image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:39.364918image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:02.034928image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:25.446476image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:48.108699image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:12.543338image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:34.899059image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:58.453081image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:22.327906image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:53.584864image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:17.337053image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:42.371334image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:06.846664image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:30.206846image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:52.472328image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:17.349141image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:39.955732image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:43:03.652270image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:17.086079image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:42.720980image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:07.953428image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:33.766961image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:09.148448image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:45.213704image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:11.076890image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:33.158202image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:55.468495image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:16.895912image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:40.131316image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:03.497957image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:26.206662image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:48.901829image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:13.309328image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:35.722051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:59.325253image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:23.288281image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:54.388220image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:18.186524image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:43.469128image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:07.673792image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:31.034634image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:53.277146image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:18.156755image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:40.732064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:43:04.448124image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:17.951421image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:43.670642image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:08.789233image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:34.681955image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:10.248759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:46.098509image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:11.858923image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:33.902244image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:56.231329image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:17.837040image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:40.885915image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:04.605121image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:27.033327image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:49.758513image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:14.095047image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:36.477901image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:00.165350image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:24.331236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:55.179843image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:18.964053image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:44.262322image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:08.450809image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:31.879465image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:54.186008image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:18.938427image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:41.517059image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:43:05.327229image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:18.822103image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:32:44.532476image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:09.698676image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:33:35.628487image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:11.449700image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:34:46.966350image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:12.646306image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:35.646312image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:35:57.140133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:18.730041image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:36:41.642959image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:05.497605image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:27.825654image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:37:50.549882image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:15.083437image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:38:37.326766image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:01.106892image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:25.191683image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:39:56.123780image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:19.745242image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:40:45.074190image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:09.370552image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:32.730780image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:41:55.389798image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:19.900742image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-08-07T09:42:42.408336image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2023-08-07T09:44:24.209799image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2011 Total%0-5 Points%6-10 Points%11-15 Points%16-20 Points%21-25 Points2012 Total%0-5 Points.1%6-10 Points.1%11-15 Points.1%16-20 Points.1%21-25 Points.12013 Total%0-5 Points.2%6-10 Points.2%11-15 Points.2%16-20 Points.22014 Total%0-5 Points.3%6-10 Points.3%11-15 Points.3%16-20 Points.32015 Total%0-5 Points.4%6-10 Points.4%11-15 Points.4%16-20 Points.4Gender
2011 Total1.0000.5560.6310.7200.6790.4850.8900.3600.4240.5970.6050.4680.762-0.0090.3120.4940.4710.690-0.1360.1290.4120.4400.637-0.1460.1410.3320.3601.000
%0-5 Points0.5561.0000.6030.2660.105-0.0590.4440.6600.5070.1990.088-0.0320.2770.3210.116-0.003-0.0460.1910.1990.040-0.059-0.0500.1150.087-0.085-0.097-0.0830.046
%6-10 Points0.6310.6031.0000.5210.3170.0320.5420.5030.5900.4420.3010.0580.4090.1570.3540.2520.1010.3390.0280.2260.1880.1260.282-0.0040.1370.1120.0200.053
%11-15 Points0.7200.2660.5211.0000.7110.4300.6530.1630.3860.6980.6360.4140.559-0.1650.4390.5820.4470.507-0.2780.2340.5100.4540.480-0.2670.2830.4470.3380.032
%16-20 Points0.6790.1050.3170.7111.0000.5680.630-0.0000.2020.6440.6760.5410.571-0.2450.3280.6070.5490.552-0.3200.1470.5370.5300.534-0.2990.2560.4720.4360.000
%21-25 Points0.485-0.0590.0320.4300.5681.0000.469-0.117-0.0280.4040.5330.5920.455-0.2600.1380.4610.5590.441-0.289-0.0110.4060.4950.431-0.2760.1090.4020.4830.087
2012 Total0.8900.4440.5420.6530.6300.4691.0000.4410.5030.6700.6550.4860.8340.0350.3540.5450.4900.760-0.1060.1690.4540.4710.702-0.1180.1710.3650.3801.000
%0-5 Points.10.3600.6600.5030.163-0.000-0.1170.4411.0000.5270.125-0.008-0.1050.2590.4460.123-0.042-0.1130.1500.2940.075-0.094-0.1120.0730.191-0.089-0.153-0.1400.044
%6-10 Points.10.4240.5070.5900.3860.202-0.0280.5030.5271.0000.3630.181-0.0410.3550.2600.3670.2040.0250.2740.1080.2560.1570.0490.2110.0530.1240.060-0.0450.076
%11-15 Points.10.5970.1990.4420.6980.6440.4040.6700.1250.3631.0000.6760.4240.562-0.1500.4780.6390.4470.524-0.2910.2790.5700.4700.495-0.2600.3090.4660.3530.051
%16-20 Points.10.6050.0880.3010.6360.6760.5330.655-0.0080.1810.6761.0000.5560.582-0.2450.3670.6440.5570.567-0.3310.1720.5630.5580.549-0.2930.2500.5050.4470.000
%21-25 Points.10.468-0.0320.0580.4140.5410.5920.486-0.105-0.0410.4240.5561.0000.462-0.2510.1490.4870.5520.460-0.285-0.0030.4250.5100.449-0.2720.1150.4130.4970.000
2013 Total0.7620.2770.4090.5590.5710.4550.8340.2590.3550.5620.5820.4621.0000.1520.4240.6050.5250.860-0.0380.2220.4950.5030.789-0.0710.2180.3890.4041.000
%0-5 Points.2-0.0090.3210.157-0.165-0.245-0.2600.0350.4460.260-0.150-0.245-0.2510.1521.000-0.108-0.275-0.2910.0170.5310.065-0.247-0.281-0.1050.331-0.158-0.326-0.2660.094
%6-10 Points.20.3120.1160.3540.4390.3280.1380.3540.1230.3670.4780.3670.1490.424-0.1081.0000.4450.1930.358-0.0960.3990.4190.2610.320-0.1200.3270.3030.1430.091
%11-15 Points.20.494-0.0030.2520.5820.6070.4610.545-0.0420.2040.6390.6440.4870.605-0.2750.4451.0000.5760.558-0.3340.2670.6360.5640.564-0.3070.3440.5550.4550.018
%16-20 Points.20.471-0.0460.1010.4470.5490.5590.490-0.1130.0250.4470.5570.5520.525-0.2910.1930.5761.0000.520-0.3130.0650.4920.5730.527-0.2990.1900.4770.5170.000
2014 Total0.6900.1910.3390.5070.5520.4410.7600.1500.2740.5240.5670.4600.8600.0170.3580.5580.5201.0000.0060.2720.5550.5550.851-0.0580.2620.4350.4311.000
%0-5 Points.3-0.1360.1990.028-0.278-0.320-0.289-0.1060.2940.108-0.291-0.331-0.285-0.0380.531-0.096-0.334-0.3130.0061.000-0.166-0.414-0.381-0.1300.434-0.172-0.378-0.3160.104
%6-10 Points.30.1290.0400.2260.2340.147-0.0110.1690.0750.2560.2790.172-0.0030.2220.0650.3990.2670.0650.272-0.1661.0000.2180.0890.2230.0110.3270.1930.0050.113
%11-15 Points.30.412-0.0590.1880.5100.5370.4060.454-0.0940.1570.5700.5630.4250.495-0.2470.4190.6360.4920.555-0.4140.2181.0000.5830.532-0.3100.3710.5940.4450.057
%16-20 Points.30.440-0.0500.1260.4540.5300.4950.471-0.1120.0490.4700.5580.5100.503-0.2810.2610.5640.5730.555-0.3810.0890.5831.0000.540-0.3200.2460.5300.5190.000
2015 Total0.6370.1150.2820.4800.5340.4310.7020.0730.2110.4950.5490.4490.789-0.1050.3200.5640.5270.851-0.1300.2230.5320.5401.000-0.0050.3230.5130.4681.000
%0-5 Points.4-0.1460.087-0.004-0.267-0.299-0.276-0.1180.1910.053-0.260-0.293-0.272-0.0710.331-0.120-0.307-0.299-0.0580.4340.011-0.310-0.320-0.0051.000-0.360-0.422-0.3210.125
%6-10 Points.40.141-0.0850.1370.2830.2560.1090.171-0.0890.1240.3090.2500.1150.218-0.1580.3270.3440.1900.262-0.1720.3270.3710.2460.323-0.3601.0000.2990.1040.155
%11-15 Points.40.332-0.0970.1120.4470.4720.4020.365-0.1530.0600.4660.5050.4130.389-0.3260.3030.5550.4770.435-0.3780.1930.5940.5300.513-0.4220.2991.0000.4860.076
%16-20 Points.40.360-0.0830.0200.3380.4360.4830.380-0.140-0.0450.3530.4470.4970.404-0.2660.1430.4550.5170.431-0.3160.0050.4450.5190.468-0.3210.1040.4861.0000.000
Gender1.0000.0460.0530.0320.0000.0871.0000.0440.0760.0510.0000.0001.0000.0940.0910.0180.0001.0000.1040.1130.0570.0001.0000.1250.1550.0760.0001.000

Missing values

2023-08-07T09:43:06.890577image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-07T09:43:10.675240image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-07T09:43:12.458372image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

District_NameSCHOOLGender2011 Total%0-5 Points%6-10 Points%11-15 Points%16-20 Points%21-25 Points2012 Total%0-5 Points.1%6-10 Points.1%11-15 Points.1%16-20 Points.1%21-25 Points.12013 Total%0-5 Points.2%6-10 Points.2%11-15 Points.2%16-20 Points.22014 Total%0-5 Points.3%6-10 Points.3%11-15 Points.3%16-20 Points.32015 Total%0-5 Points.4%6-10 Points.4%11-15 Points.4%16-20 Points.4
0AMUDATPOKOT SECONDARY SCHOOLFEMALE0.00.00.00.00.00.03.066.733.30.00.00.08.075.025.00.00.02.050.00.050.00.01.00.00.0100.00.0
1AMUDATNaNMALE0.00.00.00.00.00.08.012.575.012.50.00.014.071.428.60.00.09.055.644.40.00.04.025.050.025.00.0
2AMUDAT TotalNaNNaN0.00.00.00.00.00.011.027.363.69.10.00.022.072.727.30.00.011.054.536.49.10.00.020.040.040.00.0
3PADERARCHBP.FLYNN SECONDARY SCHOOLFEMALE0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.014.021.442.935.70.0
4PADERNaNMALE0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.022.040.950.09.10.0
5PADERPADER TOWN HALL LAGWAI SEED SSFEMALE3.066.70.00.033.30.04.050.025.00.025.00.010.040.040.020.00.03.033.333.333.30.03.066.733.30.00.0
6PADERNaNMALE17.041.252.90.05.90.022.040.940.913.64.50.032.075.018.86.30.018.044.455.60.00.010.071.020.00.00.0
7PADERPAJULE SECONDARY SCHOOLFEMALE0.00.00.00.00.00.05.040.040.020.00.00.016.012.562.525.00.04.0100.00.00.00.02.050.050.00.00.0
8PADERNaNMALE0.00.00.00.00.00.019.015.852.631.60.00.058.037.937.924.10.028.046.432.121.40.026.043.846.23.80.0
9PADER TotalNaNNaN20.045.045.00.010.00.050.032.044.020.04.00.0116.044.836.219.00.053.049.137.713.20.077.043.842.910.40.0
District_NameSCHOOLGender2011 Total%0-5 Points%6-10 Points%11-15 Points%16-20 Points%21-25 Points2012 Total%0-5 Points.1%6-10 Points.1%11-15 Points.1%16-20 Points.1%21-25 Points.12013 Total%0-5 Points.2%6-10 Points.2%11-15 Points.2%16-20 Points.22014 Total%0-5 Points.3%6-10 Points.3%11-15 Points.3%16-20 Points.32015 Total%0-5 Points.4%6-10 Points.4%11-15 Points.4%16-20 Points.4
3906KIRUHURANaNMALE14.021.442.921.414.30.022.036.445.518.20.00.020.050.030.020.00.014.042.942.97.17.111.072.727.30.00.0
3907KIRUHURASANGA SECONDARY SCHOOL,MBARARAFEMALE0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.02.050.050.00.00.0
3908KIRUHURANaNMALE0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.09.033.344.422.20.0
3909KIRUHURASEDES SAPIENTIAE ACADEMIAE SSFEMALE0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.03.00.066.733.30.010.065.430.00.00.0
3910KIRUHURANaNMALE0.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.09.011.122.255.611.111.09.163.627.30.0
3911KIRUHURAST.CATHERINE GIRLS SCHOOL,KAZOFEMALE0.00.00.00.00.00.012.00.058.341.70.00.044.031.840.927.30.019.015.842.142.10.011.00.0100.00.00.0
3912KIRUHURAUNIVERSAL SECONDARY SCHOOL,NYABUSHOZIFEMALE6.016.766.716.70.00.012.033.350.00.016.70.040.070.025.05.00.00.00.00.00.00.05.0100.00.00.00.0
3913KIRUHURANaNMALE18.05.661.116.716.70.049.055.136.76.12.00.052.069.223.17.70.00.00.00.00.00.014.072.221.40.00.0
3914KIRUHURA TotalNaNNaN434.030.240.322.17.40.0631.038.740.715.84.40.31068.057.932.69.00.6485.051.134.612.41.9449.054.431.86.90.0
3915Grand TotalNaNNaN103681.022.534.925.713.63.3111358.020.836.327.112.73.1232258.037.237.320.45.1108263.030.836.424.58.4100705.030.143.020.03.1